We derive the intuition behind our source attribution from previous works [1]}, [2]}, [3]}, [4]} on GANs suggests that GAN-based fake images always carry fingerprints to indicate their algorithms.
Therefore, we believe that diffusion-based fake images also have the same behavior, i.e., diffusion models usually carry different fingerprints and leave stable fingerprints in their generated images.
To verify it, we propose source attribution.
